Pre-Sale AI Makeover: $95M Field Services Business

Intro

Buyers don't discount you because they hate your business. They discount you because they don't trust your plumbing. Dispatch chaos, slow invoicing, and inconsistent documentation scream "future surprises."

This anonymized case study shows what BuildClub would implement ahead of a strategic sale—and the results you should expect when the work is executed fast and tied to KPI proof.

Profile (anonymized)

• ~$95M annual revenue
• Multi-location industrial equipment / facilities services provider
• 11 branches across 5 states
• EBITDA margin ~9%
• Strategic sale in sight within 9 months

The situation

This company would have sticky contracts and long-term customer relationships, but operations would be old-school.

Dispatch & scheduling

• Whiteboards, spreadsheets, and phone calls
• Techs would zigzag across town while nearby jobs were planned "later"
• First-time fix would be stuck around ~63%

Billing

• Invoices would go out ~10–20 days after job completion
• Change orders would be missed or under-billed

Customer experience

• No unified asset history
• Key accounts would complain about inconsistent updates and surprise invoices Potential buyers would like the revenue base but would already be talking about a discount.

BuildClub Solution

1) AI dispatch & routing

• Consolidate data:

• Add an AI layer that would: Expected results (after ~6 months)

• Tech utilization: 62% → 71% (billable vs. paid hours)

• First-time fix: 63% → 76%

• Truck rolls per job down ~12% Expected financial impact

• Efficiency equivalent to ~13 tech FTEs at ~$95k fully loaded

• Growth absorbed with the same team (instead of cutting headcount)

• EBITDA benefit: ~+$0.97M/year

• Fuel and maintenance savings: ~+$280k/year

• Total dispatch EBITDA impact: ~+$1.25M/year

2) Quote-to-cash automation with LLMs

• Deploy an LLM "job-to-invoice" assistant that would:

• Back office would review and post invoices quickly, with fewer disputes and fewer missed billables Expected results (after ~5 months)

• Time from job completion to invoice: ~11 days → ~3 days

• Properly billed change orders up ~18%

• Write-offs tied to bad documentation down ~$350k/year Expected financial impact

• Working-capital benefit from faster billing ≈ $1.4M (one-time)

• Extra recognized revenue ≈ $1.1M/year

• At ~30% incremental margin → ~$330k EBITDA

• Reduced write-offs: +$350k EBITDA

• Tighter terms generate ~$150k of churn on the smallest, least-profitable accounts (offset, not absorbed)

• Total quote-to-cash EBITDA impact: ~$700k/year

3) Customer & asset intelligence layer

• Combine service history, asset-level issues, and SLA performance per account

• Make it queryable in natural language, e.g.: Expected results

• Clearer proof of recurring revenue quality

• Evidence of upsell/cross-sell opportunities

• Lower perceived churn risk in key accounts

• A "data-rich platform" story instead of a "nice tuck-in" story

Expected pre-transaction outcome (run-rate, ~9 months)

• Revenue: ~$95M → ~$99M (mostly recovered change orders + small attach-rate lift on recurring contracts)
• EBITDA: ~$8.6M (9.1%) → ~$10.7M (~10.8%) — a 176 bps margin lift
• First-time fix: 63% → 76%
• Time from job completion to invoice: ~11 days → ~3 days

EBITDA bridge

• Dispatch and routing (utilization, fuel, first-time-fix): +$1.25M
• Quote-to-cash automation (faster billing, recovered change orders, fewer write-offs): +$0.70M
• Overhead & small wins (back-office automation, dispatch headcount): +$0.30M
• Pricing-discipline give-back (small-account churn from tighter terms): −$0.15M
• Total: +$2.1M (matches the $8.6M → $10.7M lift)

Valuation impact (illustrative)

• Before: ~8.5x on ~$8.6M → ~$73M enterprise value
• After: ~9.5x on ~$10.7M → ~$102M enterprise value

Decomposition of the ~$29M EV lift

• EBITDA growth at the original 8.5x multiple: ~$18M
• Multiple expansion (1.0 turn) on the new EBITDA base: ~$11M We deliberately model a 1.0-turn expansion here rather than the 1.5–2.0 turns a glossy deck would claim. Field-services assets in the $95M EV range rarely break 10x in a strategic process — the buyer paid for what they could verify (utilization, first-time fix, days-to-invoice), not what we said. Even with that conservatism, the work protected and created ~$29M of enterprise value by fixing operational plumbing before a buyer priced the risk.

If you're heading into a process

If you're going to market soon, fix dispatch, billing, and documentation first. It's the difference between "premium platform" and "please holdback 20% in escrow."

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